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ICNC
2005
Springer

Genetic Algorithms for Thyroid Gland Ultrasound Image Feature Reduction

9 years 1 months ago
Genetic Algorithms for Thyroid Gland Ultrasound Image Feature Reduction
The problem of automatic classification of ultrasound images is addressed. For texture analysis of ultrasound images quantifiable indexes, called features, are used. Classification was performed using Gaussian mixture model based on Bayes classifier. The common problem of texture analysis is a feature selection for classification tasks. In this work we use genetic algorithms for a feature subset selection. Total number of 387 features was used, consisting of spatial an co-occurance statistical texture features (proposed by Muzzolini and Haralick). The classification infers between healthy thyroid gland and thyroid gland with chronic inflammation.
Ludvík Tesar, Daniel Smutek, Jan Jiskra
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICNC
Authors Ludvík Tesar, Daniel Smutek, Jan Jiskra
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